Adopting Cognitive Technologies

Despite the challenges, there are many benefits of using AI, and I believe boosting productivity has to be one of the most significant.

3. What according to you are some of the technological trends influencing Cognitive technologies today?

I think smartphones, robotics, and IoT devices are definitely the biggest influence on cognitive technologies. Almost everyone has a smartphone today, and there is a vast amount of information people can access and consume through smartphones.

The issue is to deliver the right amount of information at the right time to users, which is where AI technology be very helpful i.e. recommendations and personalization of content.

In recent years, myriads of IoT devices have been entering our lives, such as fitness trackers and smart home sensors. These devices collect lots of data, for example – calories burned and room temperature. AI technologies are required to understand the sensor data, personal preferences, and patterns so that they can take appropriate action.

4. What are some of the best cognitive technology practices enterprises should adopt today to steer ahead of competitors?

Building AI technology requires a lot of data, and generally, enterprises have a strong advantage because they have data and collect data regularly. Therefore, data capitalization should be a priority for enterprises; however, the data needs to be useable.

Good data governance is essential to ensure the data is clean so that is can be used to help build AI technologies now and in the future. For example, to identify a price trends accurately, instead of just collecting information on what price bracket the cost of a product falls in i.e. ($20k-$25k), the actual price of the product should be collected ($24,300), which then makes it possible to build AI technology that requires price data at a granular level.

5. Do you have any suggestions or a piece of advice for industry veterans or young entrepreneurs regarding the adoption of cognitive technology disciplines?

In the near future, businesses won’t just adopt AI technology to stay ahead of their competitors; they will adopt it to stay relevant. If businesses, especially enterprises, have not already implemented cognitive technology, I recommend they do so.

Most often than not, the building phase of cognitive technology won’t be the biggest hurdle businesses face. The integration process is often the most challenging, especially for a large enterprise with an already established customer base.

Trust can take time to gain within an organization, especially when adopting AI technology because it can be hard to explain. For those who are working in a corporate environment that are keen to explore implementing AI technology, I highly recommend identifying smaller projects that can make a big impact, especially because building AI solutions take time. This approach is a great way to gain trust and understanding from the business to invest more.

You may not get AI technology right on your first deployment, so start small and continuously make improvements based on user feedback. To provide the best and smooth user experience, it’s important that the AI technology blends seamlessly with the product.